Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments

Baratta, Alessio; Cimino, Antonio; Longo, Francesco; Nicoletti, Letizia

doi:10.1016/j.cie.2023.109764

Cited by 18 publications

(1 citation statement)

References 65 publications

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“…Having a human digital twin of operators in industrial settings can provide useful information on safety concerns with how the operator interacts with the present machines [ 82 , 92 , 93 , 94 , 95 ]. This has also been used to simulate human–robot interactions in factories as well [ 96 , 97 , 98 , 99 , 100 ]. Human digital twins are also an area of interest due to increasing research into virtual and augmented reality [ 101 ], where digital twins can serve as virtual avatars [ 91 , 102 ].…”

Section: Discussionmentioning

confidence: 99%

Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

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Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.

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